Addie Beach emphasizes the crucial role of Service Level Objectives (SLOs) in enhancing user satisfaction, directing engineering priorities, and evaluating performance. Accurate and consistent reporting of Service Level Indicators (SLIs) is essential, with data ideally derived from production environments to ensure reliable assessments. However, employing SLOs in synthetic tests can preemptively identify potential issues that might affect users and business operations. Synthetic SLOs are instrumental in verifying the correctness of SLIs and anticipating performance challenges. The text outlines how to establish and monitor SLO-based synthetic tests, highlighting that SLOs set organization-wide reliability standards, particularly regarding application uptime. Datadog offers tools such as Time Slice SLOs and monitor-based SLOs to facilitate uptime monitoring and customization of alerts. By integrating with third-party tools and visualizing SLO metrics alongside other performance data, Datadog enables comprehensive monitoring and rapid issue identification, minimizing disruptions in production environments. The text underscores the importance of maintaining SLOs through synthetic testing to ensure application reliability and offers resources for monitoring SLOs with Datadog Synthetic Monitoring.